The fragility of artists' reputations from 1795 to 2020.

This study explores the longevity of artistic reputation. We empirically examine whether artists are more- or less-venerated after their death. We construct a massive historical corpus spanning 1795 to 2020 and build separate word-embedding models for each five-year period to examine how the reputations of over 3,300 famous artists-including painters, architects, composers, musicians, and writers-evolve after their death. We find that most artists gain their highest reputation right before their death, after which it declines, losing nearly one SD every century. This posthumous decline applies to artists in all domains, includes those who died young or unexpectedly, and contradicts the popular view that artists' reputations endure. Contrary to the Matthew effect, the reputational decline is the steepest for those who had the highest reputations while alive. Two mechanisms-artists' reduced visibility and the public's changing taste-are associated with much of the posthumous reputational decline. This study underscores the fragility of human reputation and shows how the collective memory of artists unfolds over time.

Young children infer and manage what others think about them.

We care about what others think of us and often try to present ourselves in a good light. What cognitive capacities underlie our ability to think (or even worry) about reputation, and how do these concerns manifest as strategic self-presentational behaviors? Even though the tendency to modify one's behaviors in the presence of others emerges early in life, the degree to which these behaviors reflect a rich understanding of what others think about the self has remained an open question. Bridging prior work on reputation management, communication, and theory of mind development in early childhood, here we investigate young children's ability to infer and revise others' mental representation of the self. Across four experiments, we find that 3- and 4-y-old children's decisions about to whom to communicate (Experiment 1), what to communicate (Experiments 2 and 3), and which joint activity to engage in with a partner (Experiment 4) are systematically influenced by the partner's observations of the children's own past performance. Children in these studies chose to present self-relevant information selectively and strategically when it could revise the partner's outdated, negative representation of the self. Extending research on children's ability to engage in informative communication, these results demonstrate the sophistication of early self-presentational behaviors: Even young children can draw rich inferences about what others think of them and communicate self-relevant information to revise these representations.

The Rich Get Richer: The Matthew Effect in Open Payments.

INTRODUCTION: The Matthew Effect refers to a pattern of accumulated advantage, specifically how social status can lead to increased wealth and recognition. The Physician Payments Sunshine Act of the Affordable Care Act requires industry payments and the affiliated hospital to be publicly available through the Open Payments Database (OPD). The US News and World Report (USNWR) publishes a ranking of best medical school (research) programs yearly. The Blue Ridge Institute for Medical Research (BRIMR) ranks medical schools annually by the amount of funding from the National Institutes of Health (NIH). Whether medical school-affiliated hospitals with higher social ranking and more NIH funding receive more industrial support is unknown. This study aims to evaluate the relationship between open payment of medical school-affiliated hospitals and USNWR and BRIMR ranking. METHODS: We performed a cross-sectional analysis of the OPD for the fiscal year of 2021. Hospital industry payment information was collected for affiliated hospitals in general and research categories. NIH funding data and program rankings were collected from BRIMR and USNWR, respectively. All data were collected for the fiscal year of 2021. The open payments of schools ranked in the top 50 for USNWR (n = 50) and BRIMR (n = 49) were compared to the schools not ranked in the top 50 using SPSS with chi-squared and Mann-Whitney U tests. A multivariate linear regression was performed to evaluate the association between open payments, USNWR ranking, and BRIMR ranking. RESULTS: A total of 91 medical schools were included in this study. The top 50 ranked medical schools by BRIMR were found to have a higher median of total open payment ($5,652,628 versus $2,558,372, P < 0.001), open payment in research ($4,707,297 versus $1,992,597, P = 0.003), and general open payment ($1,083,018 versus $392,045, P < 0.001). When ranked by USNWR, the top 50 ranked medical schools were found similarly to have a higher median of total open payment (P < 0.001), open payment in research (P < 0.001), and general open payment (P < 0.001). USNWR ranking was an independent predictor of more total open payment (Coefficient 0.016, 95% confidence interval 0.002-0.029, P = 0.026) and research open payment (coefficient 0.018, 95% confidence interval 0.002-0.034, P = 0.028). USNWR ranking was not found to predict general open payments. BRIMR ranking was not associated with open payment in total, research, or general. CONCLUSIONS: Hospital open payments were associated with the social reputation of their medical schools. NIH funding was not associated with open payments. A Matthew effect exists in current industry payments to medical school-affiliated hospitals.

Moral evaluations of children's truths and lies in a prosocial context: The role of reputation.

The current investigation examined the influence of a child's reputation on 7- to 12-year-olds' (Study 1; N = 146) and parents' (Study 2; N = 198) moral evaluations of the child's blunt truths (i.e., truths told despite possible hurt feelings) and prosocial lies (i.e., lies told to protect another's feelings). In Study 1, children were read a series of vignettes in which a child, described as being smart, kind, or clean (with clean serving as the irrelevant control reputation), told either the blunt truth or a prosocial lie that varied in content (opinions or facts). In Study 2, parents evaluated the same vignettes and reputations as in Study 1 with the addition of a troublemaker reputation. The reputation of the child protagonist significantly influenced both children's and parents' moral evaluations. Children rated the kind child's lies more positively, and parents rated the smart child's truths and lies less positively, than those of the clean (control) child when told about opinions. No differences were noted in the facts content condition. Findings suggest that a child's perceived reputation may influence both children's and adults' moral interpretations of the child's honesty behaviors.

Children's consideration of motivation in evaluations of socially (un)mindful actions.

Previous research shows that both adults and children by 5 or 6 years of age appreciate socially mindful actions where one leaves a choice for others. However, less is known as to whether children consider motivations in their evaluations of socially (un)mindful actions. Here we investigated whether children and adults can spontaneously evaluate socially (un)mindful behaviors depending on contextual cues, specifically whether the actions happen in public or in private. We also investigated how children evaluate these actions when provided with explicit information on motivations. We presented 99 children (aged 6-11 years) and 99 adults in China with two characters performing the same socially mindful or unmindful behaviors. One character acted publicly, whereas the other acted privately. Participants were asked to compare the two characters first spontaneously and then again after explicit information on the characters' motivations was provided. We found that whereas adults spontaneously favor private socially mindful acts, children favor public socially mindful acts. Only after motivations were provided did children favor private socially mindful acts like adults. In addition, we found asymmetry in that motivation seems to matter more in evaluations of socially mindful actions than in evaluations of socially unmindful ones. These findings are the first to reveal children's consideration of motivations in their evaluations of socially mindful behaviors.

Research on Oracle Technology Based on Multi-Threshold Aggregate Signature Algorithm and Enhanced Trustworthy Oracle Reputation Mechanism.

In the realm of IoT sensor data security, particularly in areas like agricultural product traceability, the challenges of ensuring product origin and quality are paramount. This research presents a novel blockchain oracle solution integrating an enhanced MTAS signature algorithm derived from the Schnorr signature algorithm. The key improvement lies in the automatic adaptation of flexible threshold values based on the current scenario, catering to diverse security and efficiency requirements. Utilizing the continuously increasing block height of the blockchain as a pivotal blinding parameter, our approach strengthens signature verifiability and security. By combining the block height with signature parameters, we devise a distinctive signing scheme reliant on a globally immutable timestamp. Additionally, this study introduces a reliable oracle reputation mechanism for monitoring and assessing oracle node performance, maintaining both local and global reputations. This mechanism leverages smart contracts to evaluate each oracle's historical service, penalizing or removing nodes engaged in inappropriate behaviors. Experimental results highlight the innovative contributions of our approach to enhancing on-chain efficiency and fortifying security during the on-chain process, offering promising advancements for secure and efficient IoT sensor data transmission.

Effect of stakeholder pressure on environmental performance: Do virtual CSR, green credit, environmental and social reputation matter?

In today's globalized and interconnected world, businesses operate within an interconnected network with various stakeholders. Among these stakeholders, the pressure from consumers, investors, regulators, and communities for corporations to adopt environmentally responsible practices has intensified significantly. Therefore, this study investigates the relationship between stakeholder pressure and environmental performance (EP) in Pakistan's manufacturing sector while examining the potential moderating roles of environmental reputation, social reputation, virtual CSR, and green credit. Data was gathered by convenience sampling and a cross-sectional research approach. A structural questionnaire was given to 376 employees of manufacturing firms that are listed on the Pakistan Stock Exchange (PSE). The research hypotheses were tested using PLS-SEM techniques, which examined the interactions between these variables. The results reveal that stakeholder pressure significantly influences the environmental performance of manufacturing firms. Environmental reputation and virtual CSR negatively moderate the relationship between stakeholder pressure and EP. Moreover, social reputation and green credit positively moderate the relationship between stakeholder pressure and EP. These results contribute to the existing literature by shedding light on how stakeholder pressure influences firms' environmental behavior. Practical implications include integrating virtual CSR strategies, securing green financing options, and building strong environmental and social reputations to effectively respond to stakeholder demands and improve environmental performance.

Probing the CSR-pro-environmental behavior linkage: Insights into green reputation and chief sustainability officer influence.

This study aims to examine the impacts of internal and external corporate social responsibility (CSR) on managers' pro-environmental behaviors with the mediating role of green reputation and moderating of chief sustainability officer (CSO). We acquired information from 609 managers working in various Chinese manufacturing firms using a standardized survey tool. Structural equation modelling (SEM) was performed to analyze data. Our major findings are as follows. First, both internal and external CSR influence the pro-environmental behaviors of managers through the mediation role of corporate green reputation. Second, the CSO significantly moderates the relationship between CSR actions and corporate green reputation. Our study contributes to the body of current knowledge by giving empirical evidence for the theoretical framework linking CSR, reputation, and pro-environmental behavior. The findings from this study offer managerial insights for businesses that deliberately want to promote environmentally friendly activities.

Honor Values as Identity Content: Evidence From a Three-Wave Longitudinal Study.

Reputation refers to the set of judgments a community makes about its members. In cultures of honor, reputation constitutes one of the most pressing concerns of individuals. Reputational concerns are intimately intertwined with people's social identities. However, research has yet to address the question of how honor-related reputational concerns are structured at the within-person level vis-à-vis individuals' identification with relevant group memberships. The present longitudinal study investigated the association between social identification and reputational concerns in southern Italy (N1st-wave = 1,173), a little-studied culture of honor. Specifically, using a random intercept cross-lagged panel model, we tested whether reputational concerns predict, are predicted by, or are bidirectionally linked to individuals' identification with their region, a group membership relevant for the endorsement of honor. Findings revealed a positive association at the within-person level between group identification and subsequent honor-related concerns. Longitudinal paths from reputational concerns to identification were not significant. Implications of the findings and directions for future research are discussed.

Safe Access Zone Legislation and Its Compliance with the Human Rights of Anti-Abortion Protesters in Australia.

Terminating a pregnancy is now lawful in all Australian jurisdictions, although on diverse bases. While abortions have not been subject to the same degree of heated debate in Australia as elsewhere, protests aimed at persuading women not to have a termination of their pregnancy have occurred outside abortion service providers in the past. Over the last decade, this has led to the introduction of laws setting out so-called safe access zones around provider premises. Anti-abortion protests are prohibited within a specific distance from abortion services and infringements attract criminal liability. As safe access zone laws prevent protesters from expressing their views in certain spaces, the question arises as to the laws' compliance with protesters' human rights. This article analyses this by considering the human rights compliance of the Queensland ban in light of Queensland human rights legislation. It concludes that the imposed prohibition of anti-abortion protests near abortion clinics is compatible with human rights.

The impact of patient experience dimensions on hospitals reputation and electronic word-of-mouth.

Our objective was to identify the dimensions of the patient experience that directly influence a hospital's reputation and indirectly impact electronic word-of-mouth communication carried out by patients. We collected data from 484 hospital users and analyzed the data using PLS-SEM. Our results show that paying attention to patient preferences and physical comfort, providing information and education, and treating patients' families and friends well tend to have a significant impact on the hospital's reputation. In turn, a hospital's reputation may influence patients to perform electronic word-of-mouth about their experiences.

If They Won't Know, I Won't Wait: Anticipated Social Consequences Drive Children's Performance on Self-Control Tasks.

This research evaluated the hypothesis that the act of offering an incentive produces anticipated social benefits that are distinct from the benefits associated with the incentive itself. Across three preregistered studies, 3- to 5-year-old children in China (total N = 210) were given an opportunity to wait for an additional sticker (Studies 1 and 3) or an edible treat (Study 2). Rewards were dispensed via a timer-controlled box that allowed the experimenter's apparent ability to learn how long children waited to be manipulated experimentally. Children waited only about half as long when they believed the experimenter would not find out how long they waited. When children were offered three prizes for waiting, anticipated social benefits still drove behavior at least as much as the reward. The findings demonstrate that children as young as 3 years are sensitive to anticipated social rewards when responding to offers of incentives.

Are People Generous When the Financial Stakes Are High?

How generous are people when making consequential financial decisions in the real world? We took advantage of a rare opportunity to examine generosity among a diverse sample of adults who received a gift of U.S. $10,000 from a pair of wealthy donors, with nearly no strings attached. Two-hundred participants were drawn from three low-income countries (Indonesia, Brazil, and Kenya) and four high-income countries (Australia, Canada, the United Kingdom, and the United States) as part of a preregistered study. On average, participants spent over $6,400 on purchases that benefited others, including nearly $1,700 on donations to charity, suggesting that humans exhibit remarkable generosity even when the stakes are high. To address whether generosity was driven by reputational concerns, we asked half the participants to share their spending decisions publicly on Twitter, whereas the other half were asked to keep their spending private. Generous spending was similar between the groups, in contrast to our preregistered hypothesis that enhancing reputational concerns would increase generosity.

Human Cooperation and the Crises of Climate Change, COVID-19, and Misinformation.

Contemporary society is facing many social dilemmas-including climate change, COVID-19, and misinformation-characterized by a conflict between short-term self-interest and longer-term collective interest. The climate crisis requires paying costs today to reduce climate-related harms and risks that we face in the future. The COVID-19 crisis requires the less vulnerable to pay costs to benefit the more vulnerable in the face of great uncertainty. The misinformation crisis requires investing effort to assess truth and abstain from spreading attractive falsehoods. Addressing these crises requires an understanding of human cooperation. To that end, we present (a) an overview of mechanisms for the evolution of cooperation, including mechanisms based on similarity and interaction; (b) a discussion of how reputation can incentivize cooperation via conditional cooperation and signaling; and (c) a review of social preferences that undergird the proximate psychology of cooperation, including positive regard for others, parochialism, and egalitarianism. We discuss the three focal crises facing our society through the lens of cooperation, emphasizing how cooperation research can inform our efforts to address them.

What is the moral person like? An examination of the shared and unique perspectives on moral character.

OBJECTIVE: The psychological profile of the moral person might depend on whose perspective is being used. Here, we decompose moral impressions into three components: (a) Shared Moral Character (shared variance across self- and informant reports), (b) Moral Identity (how a person uniquely views their morality), and (c) Moral Reputation (how others uniquely view that person's morality). METHOD: In two samples (total N = 458), we used an extended version of the Trait-Reputation-Identity model to examine the extent to which each perspective accounts for the overall variance in moral impressions and the degree to which social and personal outcomes were associated with each perspective, controlling for method variance (i.e., positivity and acquiescence bias). RESULTS: Results suggest that moral character impressions are strongly influenced by positivity and largely idiosyncratic. All components were related to higher levels of agreeableness. For the most part, however, the three components had unique correlates: people higher in Shared Moral Character tended to have higher standings on conscientiousness and honesty-humility, were more respected, and donated more during an in-lab game; people higher in Moral Identity endorsed various moral foundations to a greater extent; and people higher in Moral Reputation valued the loyalty foundation less. CONCLUSION: These results demonstrate the value of considering multiple perspectives when measuring moral character.

A Trusted Reputation Management Scheme for Cross-Chain Transactions.

Blockchain has become a well-known, secured, decentralized datastore in many domains, including medical, industrial, and especially the financial field. However, to meet the requirements of different fields, platforms that are built on blockchain technology must provide functions and characteristics with a wide variety of options. Although they may share similar technology at the fundamental level, the differences among them make data or transaction exchange challenging. Cross-chain transactions have become a commonly utilized function, while at the same time, some have pointed out its security loopholes. It is evident that a secure transaction scheme is desperately needed. However, what about those nodes that do not behave? It is clear that not only a secure transaction scheme is necessary, but also a system that can gradually eliminate malicious players is of dire need. At the same time, integrating different blockchain systems can be difficult due to their independent architectures, and cross-chain transactions can be at risk if malicious attackers try to control the nodes in the cross-chain system. In this paper, we propose a dynamic reputation management scheme based on the past transaction behaviors of nodes. These behaviors serve as the basis for evaluating a node's reputation to support the decision on malicious behavior and enable the system to intercept it in a timely manner. Furthermore, to establish a reputation index with high precision and flexibility, we integrate Particle Swarm Optimization (PSO) into our proposed scheme. This allows our system to meet the needs of a wide variety of blockchain platforms. Overall, the article highlights the importance of securing cross-chain transactions and proposes a method to prevent misbehavior by evaluating and managing node reputation.

Blockchain-Assisted Reputation Management Scheme for Internet of Vehicles.

With the rapid development of Internet of Vehicles (IoV), particularly the introduction of Mobile Edge Computing (MEC), vehicles can efficiently share data with one another. However, edge computing nodes are vulnerable to various network attacks, posing security risks to data storage and sharing. Moreover, the presence of abnormal vehicles during the sharing process poses significant security threats to the entire network. To address these issues, this paper proposes a novel reputation management scheme, which proposes an improved multi-source multi-weight subjective logic algorithm. This algorithm fuses the direct and indirect opinion feedback of nodes through the subjective logic trust model while considering factors such as event validity, familiarity, timeliness, and trajectory similarity. Vehicle reputation values are periodically updated, and abnormal vehicles are identified through reputation thresholds. Finally, blockchain technology is employed to ensure the security of data storage and sharing. By analyzing real vehicle trajectory datasets, the algorithm is proven to effectively improve the differentiation and detection rate of abnormal vehicles.

ReIPS: A Secure Cloud-Based Reputation Evaluation System for IoT-Enabled Pumped Storage Power Stations.

Reputation evaluation is an effective measure for maintaining secure Internet of Things (IoT) ecosystems, but there are still several challenges when applied in IoT-enabled pumped storage power stations (PSPSs), such as the limited resources of intelligent inspection devices and the threat of single-point and collusion attacks. To address these challenges, in this paper we present ReIPS, a secure cloud-based reputation evaluation system designed to manage intelligent inspection devices' reputations in IoT-enabled PSPSs. Our ReIPS incorporates a resource-rich cloud platform to collect various reputation evaluation indexes and perform complex evaluation operations. To resist single-point attacks, we present a novel reputation evaluation model that combines backpropagation neural networks (BPNNs) with a point reputation-weighted directed network model (PR-WDNM). The BPNNs objectively evaluate device point reputations, which are further integrated into PR-WDNM to detect malicious devices and obtain corrective global reputations. To resist collusion attacks, we introduce a knowledge graph-based collusion device identification method that calculates behavioral and semantic similarities to accurately identify collusion devices. Simulation results show that our ReIPS outperforms existing systems regarding reputation evaluation performance, particularly in single-point and collusion attack scenarios.

How implementing the UN sustainable development goals affects customers' perceptions and loyalty.

When firms work to achieve the UN Sustainable Development Goals (SDGs), they contribute to environmental protection and social and economic welfare. But what are the implications for the firms themselves, particularly in terms of potential improvements to customer-organization relationships? This article seeks to answer that question in depth by investigating the distinct influences of implementing environmental, social, or economic SDGs on consumers' perceptions of the firm's reputation, trust, and user-organization identification, which in turn may affect their loyalty intentions. Survey responses from 210 employees and students of a professional training organization reveal that in this educational context, social and economic SDGs are more relevant than environmental SDGs. Implementing SDGs has positive implications for the organization, in the form of increased user loyalty, which is not a direct effect but rather is fully mediated by trust and user-organization identification. Reputation does not affect loyalty though. In addition, companies' compliance with SDGs should be consistent with their business objectives; SDG-washing is ineffective. This research thus expands scarce empirical knowledge in this emerging field by helping scholars and practitioners understand the unique processes through which achieving SDGs affects users' perceptions and future behaviors.

What contributes to local-level institutional adaptation under climate change? A configurational approach based on evidence from China's Sponge City Program.

Unrestrained human industrial and agricultural production activities exacerbate climate change and environmental pollution. Climate change leads to an increase in flood risks and the spread of water and soil pollution, resulting in challenges in urban stormwater management. Institutional adaptation to climate change is vital for realizing effective local urban stormwater management. However, the accumulated knowledge on climate adaptation over the past decade has been concentrated at the technical and economic levels, with limited research on institutional adaptation. The Sponge City Program in China selects 30 pilot cities to promote a novel stormwater management approach that combines the reliability of traditional gray infrastructures made of concrete materials with the adaptability and sustainability of green-blue infrastructures based on natural-based solutions, but the extent of institutional adaptation in this process varies considerably across pilot cities. To explain what drives institutional adaptation, a configurational analysis of pilot cities is conducted using the fuzzy-set qualitative comparative analysis method. Based on data from 628 official reports and 36 interviews, we demonstrate local governments are significant institutional entrepreneurs, and high institutional adaptation occurs with the combined effects of institutional capacity, financial resources, and reputational incentives. There are three types of paths driving institutional adaptation: "strong institutional capacity-strong financial resource-low reputational reserve," "strong institutional capacity-strong financial resource-high reputational competition," and "strong institutional capacity-weak financial resource-low reputational reserve." These three paths account for 72% of the instances of high institutional adaptation outcomes, and 90% of cases share a given configuration of conditions associated with an outcome. Our conclusion advances a theoretical understanding of the drivers of institutional adaptation and provides guidelines for future climate adaptation practices.